---
title: "Who cites COMET: A Neural Framework for MT Evaluation —…"
description: "The papers of the Elamur Research library that cite «COMET: A Neural Framework for MT Evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/12/"
---
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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 12

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/) · … · [11](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/11/) · **12**

1. [SALTED: A Framework for SAlient Long-tail Translation Error Detection](https://aclanthology.org/2022.findings-emnlp.379/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
2. [Searching for COMETINHO: The Little Metric That Could](https://aclanthology.org/2022.eamt-1.9/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
3. [SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation](https://aclanthology.org/2022.coling-1.39/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
4. [Semantically Informed Slang Interpretation](https://aclanthology.org/2022.naacl-main.383/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
5. [SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering](https://aclanthology.org/2022.emnlp-main.378/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [SubER - A Metric for Automatic Evaluation of Subtitle Quality](https://aclanthology.org/2022.iwslt-1.1/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
7. [Subword-Delimited Downsampling for Better Character-Level Translation](https://aclanthology.org/2022.findings-emnlp.69/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
8. [The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation](https://aclanthology.org/2022.naacl-main.136/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [The EuroPat Corpus: A Parallel Corpus of European Patent Data](https://aclanthology.org/2022.lrec-1.78/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [The RoyalFlush System for the WMT 2022 Efficiency Task](https://aclanthology.org/2022.wmt-1.65/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
11. [Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation](https://aclanthology.org/2022.emnlp-main.20/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Towards Robust k-Nearest-Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.367/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
13. [Twist Decoding: Diverse Generators Guide Each Other](https://aclanthology.org/2022.emnlp-main.326/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
14. [Unbabel-IST at the WMT Chat Translation Shared Task](https://aclanthology.org/2022.wmt-1.89/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
15. [UniTE: Unified Translation Evaluation](https://aclanthology.org/2022.acl-long.558/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Vega-MT: The JD Explore Academy Machine Translation System for WMT22](https://aclanthology.org/2022.wmt-1.37/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
17. [Welocalize-ARC/NKUA's Submission to the WMT 2022 Quality Estimation Shared Task](https://aclanthology.org/2022.wmt-1.62/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
18. [Who Are We Talking About? Handling Person Names in Speech Translation](https://aclanthology.org/2022.iwslt-1.6/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
19. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
20. [Why is sentence similarity benchmark not predictive of application-oriented task performance?](https://aclanthology.org/2022.eval4nlp-1.8/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
21. [XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference](https://aclanthology.org/2022.fever-1.7/) *— 2022 · Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER)*
22. [eTranslation's Submissions to the WMT22 General Machine Translation Task](https://aclanthology.org/2022.wmt-1.29/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
23. [nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation](https://aclanthology.org/2022.eamt-1.21/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
24. [A Fine-Grained Analysis of BERTScore](https://aclanthology.org/2021.wmt-1.59/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
25. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://aclanthology.org/2021.wmt-1.111/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
27. [Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity](https://aclanthology.org/2021.motra-1.10/) *— 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age*
28. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
29. [BARTScore: Evaluating Generated Text as Text Generation](https://arxiv.org/abs/2106.11520) *— 2021 · arXiv:2106.11520*
30. [CUNI Systems for WMT21: Terminology Translation Shared Task](https://aclanthology.org/2021.wmt-1.82/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
31. [Data Augmentation for Sign Language Gloss Translation](https://aclanthology.org/2021.mtsummit-at4ssl.1/) *— 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)*
32. [Do Context-Aware Translation Models Pay the Right Attention?](https://aclanthology.org/2021.acl-long.65/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
33. [Don”t Go Far Off: An Empirical Study on Neural Poetry Translation](https://aclanthology.org/2021.emnlp-main.577/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
34. [Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs](https://aclanthology.org/2021.wmt-1.8/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
35. [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) *— our card · 2021*
36. [Findings of the WMT 2021 Shared Task on Efficient Translation](https://aclanthology.org/2021.wmt-1.68/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
37. [Focus Attention: Promoting Faithfulness and Diversity in Summarization](https://aclanthology.org/2021.acl-long.474/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
38. [Generic resources are what you need: Style transfer tasks without task-specific parallel training data](https://aclanthology.org/2021.emnlp-main.349/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
39. [Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors](https://aclanthology.org/2021.emnlp-main.701/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
40. [HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task](https://aclanthology.org/2021.wmt-1.92/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
41. [IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task](https://aclanthology.org/2021.eval4nlp-1.14/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
42. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
43. [Learning Compact Metrics for MT](https://aclanthology.org/2021.emnlp-main.58/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
44. [Les lettres et la machine : un état de l”art en traduction littéraire automatique (Machines in the humanities: current state of the art in literary machine translation)](https://aclanthology.org/2021.jeptalnrecital-recital.3/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 : 23e REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL)*
45. [Levenshtein Training for Word-level Quality Estimation](https://aclanthology.org/2021.emnlp-main.539/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
46. [MT-Telescope: An interactive platform for contrastive evaluation of MT systems](https://aclanthology.org/2021.acl-demo.9/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
47. [Machine Translation of Low-Resource Indo-European Languages](https://aclanthology.org/2021.wmt-1.41/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
48. [Measuring and Increasing Context Usage in Context-Aware Machine Translation](https://aclanthology.org/2021.acl-long.505/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
49. [Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task](https://aclanthology.org/2021.wmt-1.113/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
50. [Multilingual Unsupervised Neural Machine Translation with Denoising Adapters](https://aclanthology.org/2021.emnlp-main.533/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
51. [Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort](https://aclanthology.org/2021.acl-long.242/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
52. [Pruning Neural Machine Translation for Speed Using Group Lasso](https://aclanthology.org/2021.wmt-1.116/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
53. [Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics](https://aclanthology.org/2021.eval4nlp-1.16/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
54. [Regressive Ensemble for Machine Translation Quality Evaluation](https://aclanthology.org/2021.wmt-1.112/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
55. [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://aclanthology.org/2021.wmt-1.73/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
56. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
57. [Robust Open-Vocabulary Translation from Visual Text Representations](https://aclanthology.org/2021.emnlp-main.576/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
58. [Semantic Similarity Based Evaluation for Abstractive News Summarization](https://aclanthology.org/2021.gem-1.3/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
59. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
60. [Towards More Fine-grained and Reliable NLP Performance Prediction](https://aclanthology.org/2021.eacl-main.324/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
61. [Uncertainty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.findings-emnlp.330/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
62. [Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation](https://aclanthology.org/2021.acl-long.22/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
63. [融合XLM词语表示的神经机器译文自动评价方法(Neural Automatic Evaluation of Machine Translation Method Combined with XLM Word Representation)](https://aclanthology.org/2021.ccl-1.2/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
64. [An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil](https://aclanthology.org/2020.wat-1.22/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
65. [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://aclanthology.org/2020.wmt-1.102/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
66. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
67. [Unbabel's Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*

Pages: [1](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/) · … · [11](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/11/) · **12**